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» Data Mining for Genetics: A Genetic Algorithm Approach
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
197
Voted
GIS
2010
ACM
15 years 1 months ago
Finding similar users using category-based location history
In this paper, we aim to estimate the similarity between users according to their GPS trajectories. Our approach first models a user’s GPS trajectories with a semantic location ...
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie
168
Voted
EMNLP
2011
14 years 3 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
145
Voted
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 3 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
16 years 24 days ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha